colour.io.read_image_Imageio¶
- colour.io.read_image_Imageio(path: str, bit_depth: Literal['uint8', 'uint16', 'float16', 'float32', 'float64', 'float128'] = 'float32', **kwargs: Any) numpy.ndarray[source]¶
Read the image at given path using Imageio.
- Parameters
path (str) – Image path.
bit_depth (Literal['uint8', 'uint16', 'float16', 'float32', 'float64', 'float128']) – Returned image bit depth, the image data is converted with
colour.io.convert_bit_depth()definition after reading the image.kwargs (Any) – Keywords arguments.
- Returns
Image data.
- Return type
class`numpy.ndarray`
Notes
For convenience, single channel images are squeezed to 2D arrays.
Examples
>>> import os >>> import colour >>> path = os.path.join(colour.__path__[0], 'io', 'tests', 'resources', ... 'CMS_Test_Pattern.exr') >>> image = read_image_Imageio(path) >>> image.shape (1267, 1274, 3) >>> image.dtype dtype('float32')